Course Name: Introduction to Uncertainty Analysis and Experimentation

Course abstract

I will address fundamental topics on uncertainty analysis and their applications and give an overview of experimentation. Practicing engineers, researchers, and engineering students at UG, PG and PhD, from many disciplines will benefit from this course. The topics include experimentation process, errors in measurement, uncertainty in a measurement and in the result, uncertainty propagations, pre- and post- test uncertainty analysis, uncertainty analysis for design of set-up, and regression and correlation. The methodology will follow ASME �Performance Test Code�, and ISO �Guide to the expression of Uncertainty in Measurement�. I will discuss a variety of practical applications and use of national and international standards related to engineering and research and their relevance in education.


Course Instructor

Media Object

Prof. S. R. Kale

Professor Sunil R. Kale has been with the Department of Mechanical Engineering since 1989. He has developed and taught UG courses (thermodynamics, energy conversion, heat and mass transfer, power plant technologies, engineering drawing, and mechanical core laboratory), and PG courses (experimental methods for thermal engineering, multiphase flows). His research, academic and industry-related, is in the fields of heat transfer, fluid mechanics, fire dynamics, combustion, and energy conversion.
More info

Teaching Assistant(s)

No teaching assistant data available for this course yet
 Course Duration : Jan-Mar 2021

  View Course

 Syllabus

 Enrollment : 18-Nov-2020 to 25-Jan-2021

 Exam registration : 15-Jan-2021 to 12-Feb-2021

 Exam Date : 21-Mar-2021

Enrolled

341

Registered

4

Certificate Eligible

3

Certified Category Count

Gold

0

Silver

2

Elite

1

Successfully completed

0

Participation

1

Success

Elite

Silver

Gold





Legend

AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75 AND FINAL SCORE >=40
BASED ON THE FINAL SCORE, Certificate criteria will be as below:
>=90 - Elite + Gold
75-89 -Elite + Silver
>=60 - Elite
40-59 - Successfully Completed

Final Score Calculation Logic

  • Assignment Score = Average of best 6 out of 8 assignments.
  • Final Score(Score on Certificate)= 75% of Exam Score + 25% of Assignment Score
Introduction to Uncertainty Analysis and Experimentation - Toppers list

VENKATESHA 76%

Enrollment Statistics

Total Enrollment: 341

Registration Statistics

Total Registration : 4

Assignment Statistics




Assignment

Exam score

Final score

Score Distribution Graph - Legend

Assignment Score: Distribution of average scores garnered by students per assignment.
Exam Score : Distribution of the final exam score of students.
Final Score : Distribution of the combined score of assignments and final exam, based on the score logic.